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Recherche

Découvrez les recherches, les histoires et les tendances qui façonnent l'avenir de l'IA.

A retrospective study on machine learning-assisted stroke recognition for medical helpline callsA retrospective study on machine learning-assisted stroke recognition for medical helpline calls
Research

A retrospective study on machine learning-assisted stroke recognition for medical helpline calls

A retrospective study on machine learning-assisted stroke recognition for medical helpline calls

2/20/2024
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability StudyAutomated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
Research

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study

4/21/2023
SIGIR
Self-Supervised Speech Representation Learning: A ReviewSelf-Supervised Speech Representation Learning: A Review
Research

Self-Supervised Speech Representation Learning: A Review

Self-Supervised Speech Representation Learning: A Review

5/21/2022
IEEE Journal of Selected Topics in Signal Processing
Model-agnostic out-of-distribution detection using combined statistical testsModel-agnostic out-of-distribution detection using combined statistical tests
Research

Model-agnostic out-of-distribution detection using combined statistical tests

Model-agnostic out-of-distribution detection using combined statistical tests

3/2/2022
AISTATS
A Brief Overview of Unsupervised Neural Speech Representation LearningA Brief Overview of Unsupervised Neural Speech Representation Learning
Research

A Brief Overview of Unsupervised Neural Speech Representation Learning

A Brief Overview of Unsupervised Neural Speech Representation Learning

3/1/2022
AAAI Conference on Artificial Intelligence
Benchmarking Generative Latent Variable Models for SpeechBenchmarking Generative Latent Variable Models for Speech
Research

Benchmarking Generative Latent Variable Models for Speech

Benchmarking Generative Latent Variable Models for Speech

2/22/2022
ICLR
Do End-to-End Speech Recognition Models Care About Context?Do End-to-End Speech Recognition Models Care About Context?
Research

Do End-to-End Speech Recognition Models Care About Context?

Do End-to-End Speech Recognition Models Care About Context?

2/17/2021
Interspeech
Hierarchical VAEs Know What They Don't KnowHierarchical VAEs Know What They Don't Know
Research

Hierarchical VAEs Know What They Don't Know

Hierarchical VAEs Know What They Don't Know

2/16/2021
International Conference on Machine Learning
On Scaling Contrastive Representations for Low-Resource Speech RecognitionOn Scaling Contrastive Representations for Low-Resource Speech Recognition
Research

On Scaling Contrastive Representations for Low-Resource Speech Recognition

On Scaling Contrastive Representations for Low-Resource Speech Recognition

2/1/2021
ICASSP
Effect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical ServicesEffect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical Services
Research

Effect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical Services

Effect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical Services

1/6/2021
JAMA Network Open
MultiQT: Multimodal Learning for Real-Time Question Tracking in SpeechMultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
Research

MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech

MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech

5/2/2020
Association for Computational Linguistic
BIVA: A Very Deep Hierarchy of Latent Variables for Generative ModellingBIVA: A Very Deep Hierarchy of Latent Variables for Generative Modelling
Research

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modelling

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modelling

2/6/2019
NeurIPS
Machine learning can support dispatchers to better and faster recognize out-of-hospital cardiac arrest during emergency calls: A retrospective studyMachine learning can support dispatchers to better and faster recognize out-of-hospital cardiac arrest during emergency calls: A retrospective study
Research

Machine learning can support dispatchers to better and faster recognize out-of-hospital cardiac arrest during emergency calls: A retrospective study

Machine learning can support dispatchers to better and faster recognize out-of-hospital cardiac arrest during emergency calls: A retrospective study

1/18/2019
Resuscitation Journal
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech RecognitionOn the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition
Research

On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition

On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition

11/28/2018
NeurIPS